mid Machine Learning Engineer ic 5+ yrs Hybrid · Posted Feb 26, 2026

About this role

DocuSign is hiring a mid-level Machine Learning Engineer based in Dublin, Ireland (hybrid). The posting calls out experience with Python, Java, C, C# and roughly 5+ years of relevant work.

Role
Machine Learning Engineer
Function
machine learning
Level
mid
Track
Individual contributor
Location
Dublin, Ireland
Work mode
Hybrid
Experience
5+ years
Department
Engineering
Posted
Feb 26, 2026
AI Summary
Mid-level ML Engineer developing NLP and deep learning models for document processing and contract analysis. Applies text mining, NER, and sentiment analysis to build personalized customer experiences. Requires 5+ years designing, developing, and deploying ML models with strong NLP expertise.

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Job description

from DocuSign careers

Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you'll do Docusign is looking for a passionate, talented, and inventive MLE to help build industry-leading state of the art solutions. You will be leveraging text mining, deep learning, content understanding, document processing and more. You will prototype machine learning models that deliver more personalized and automated customer experiences throughout the Docusign Agreement Cloud. This position is an individual contributor role reporting to the Director, Machine Learning. Responsibility Work together with the ML team to perform research, testing and evaluation of existing and emerging NLP/ML/DL methods and technologies that could be effectively applied to contractual/legal data Be knowledgeable in and be able to apply NLP techniques in…

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